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A hybrid genetic algorithm for a complex cost function for flowshop scheduling problem
2011
International Journal of Electronic Transport
Supply chain excellence has a real impact on business strategy. Manufacturing is an integral part of this strategy represents one of the most exciting opportunities to create value and one of the most challenging tasks for the policy makers. In this paper, we consider a performance criterion for the flowshop scheduling problem that aims to minimise a complex cost function, i.e., the sum of weighted tardiness and weighted flow-time costs. A heuristic and hybrid genetic algorithms are proposed
doi:10.1504/ijet.2011.043116
fatcat:5p65ldxtejby7d66j7jj4nfhbi